Maigret MCP Server

A Model Context Protocol (MCP) server for maigret, a powerful OSINT tool that collects user account information from various public sources. This server provides tools for searching usernames across social networks and analyzing URLs. It is designed to integrate seamlessly with MCP-compatible applications like Claude Desktop.

⚠️ Warning

This tool is designed for legitimate OSINT research purposes. Please:

• Only search for information that is publicly available

• Respect privacy and data protection laws

• Follow the terms of service of the platforms being searched

• Use responsibly and ethically

• Be aware that some sites may rate-limit or block automated searches

Requirements

• Node.js (v18 or later)

• Docker

• macOS, Linux, or Windows with Docker Desktop installed

• Write access to the reports directory

Quick Start

Installing via Smithery

To install Maigret for Claude Desktop automatically via Smithery:

Installing Manually

1. Install Docker:

   • macOS: Install Docker Desktop

   • Linux: Follow the Docker Engine installation guide

2. Install the server globally via npm:

3. Create a reports directory:

4. Add to your Claude Desktop configuration file:

Configuration file location:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

5. Restart Claude Desktop

Alternative Setup (From Source)

If you prefer to run from source or need to modify the code:

1. Clone and build:

2. Add to your Claude Desktop configuration:

Features

• Username Search: Search for a username across hundreds of social networks and websites

• URL Analysis: Parse URLs to extract information and search for associated usernames

• Multiple Output Formats: Support for txt, html, pdf, json, csv, and xmind formats

• Site Filtering: Filter searches by site tags (e.g., photo, dating, us)

• Docker-based: Reliable and consistent execution across environments

Tools

1. Username Search Tool

• Name: search_username

• Description: Search for a username across social networks and sites

• Parameters:

  • username (required): Username to search for

  • format (optional, default: "pdf"): Output format (txt, html, pdf, json, csv, xmind)

  • use_all_sites (optional, default: false): Use all available sites instead of top 500

  • tags (optional): Array of tags to filter sites (e.g., ["photo", "dating"])

Example:

2. URL Analysis Tool

• Name: parse_url

• Description: Parse a URL to extract information and search for associated usernames

• Parameters:

  • url (required): URL to analyze

  • format (optional, default: "pdf"): Output format (txt, html, pdf, json, csv, xmind)

Example:

Troubleshooting

Docker Issues

1. Verify Docker is installed and running:

2. Check Docker permissions:

   • Ensure your user has permissions to run Docker commands

   • On Linux, add your user to the docker group: sudo usermod -aG docker $USER

Reports Directory Issues

1. Verify the reports directory:

   • The directory specified in MAIGRET_REPORTS_DIR must exist

   • Your user must have write permissions to this directory

   • Check permissions: ls -la /path/to/reports/directory

2. Common configuration mistakes:

   • Missing MAIGRET_REPORTS_DIR environment variable

   • Directory doesn't exist

   • Incorrect permissions

   • Trailing slashes in the path

3. After fixing any issues:

   • Save the configuration file

   • Restart Claude Desktop

Error Messages

• "Docker is not installed or not running": Install Docker and start the Docker daemon

• "MAIGRET_REPORTS_DIR environment variable must be set": Add the environment variable to your configuration

• "Error creating reports directory": Check directory permissions and path

• "Error executing maigret": Check Docker logs and ensure the container has proper permissions

Contributing

1. Fork the repository

2. Create a feature branch (git checkout -b feature/amazing-feature)

3. Commit your changes (git commit -m 'Add amazing feature')

4. Push to the branch (git push origin feature/amazing-feature)

5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.